대한언어학회The Linguistic Association of Korea

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제목 텍스트 마이닝을 활용한 고등학교 영어 교과서 어휘 목록 개선방안에 대한 제안
저자 김연주·이건수
권/호 제24권 / 4호
출처 281-301
논문게재일 2016.12.31.
초록 Kim, Yeon-joo & Lee, Gun-soo (2016). A Proposal on the improvement of lexical contents of high school English text books utilizing text mining. The Linguistic Association of Korea Journal, 24(4), 281-301. The purpose of this study is to propose a way of revising high school English textbooks. We extracted 300 engineering and IT-related vocabularies from American math & science textbooks and English newspapers to be reflected on the textbook revision. The proposed revision including the extracted words is deemed highly necessary in the current hi-tech age as Korea has emerged as an IT power nation. The IPA method was used for a survey to find out whether college students feel the necessity of the early ESP instruction. The 300 words were selected through POS tagging and frequency analyses after basic lexical items were removed by stop-word lists by utilizing text mining techniques. It is expected that such a revision would greatly facilitate students understanding of engineering fields and enhance their ESP communication skills at the college level if the newly revised English textbooks could be used for high school English education prior to college.
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